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Start date
February
July

Campus
Mawson Lakes

Duration
3 year(s) full-time

Mode
On-campus/Online

Program Code
LBMH

Prerequisites
SACE Stage 2 Math Methods
More info

Assumed Knowledge
None

Fees
AUD$ 39,400 per annum (per 1.0 EFTSL) for students enrolled in 2025

English Language Requirements
  • IELTS total [6.0]
  • IELTS reading [6.0]
  • IELTS writing [6.0]
Equivalent English qualifications (PDF)

International Admission by Country
See full entry requirements

CRICOS Code
095006G

Aim

This program aims to produce graduates who are skilled in areas of modern mathematics, information technology and data science. These graduates will be well equipped for work in business, industry or to undertake further studies.

Content & Structure

A total of 108 units are required for the completion of the program. This three-year program provides solid foundations in Mathematics, Information Technology and Data Science.

From 4 August 2025, the University of South Australia will no longer be accepting applications for new students. Study at Adelaide University.

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What courses you'll study

Course name Area and cat no. Units Reference  
FIRST YEAR
First Semester (Study Period 1, 2 or 3)
Calculus 1 MATH 1054 4.5
Statistical Methods MATH 1068 4.5
Problem Solving and Programming COMP 1039 4.5
Information Technology Fundamentals INFT 1016 4.5
Second Semester (Study Period 4, 5 or 6)
Calculus 2 MATH 1055 4.5
Linear Algebra MATH 1056 4.5
Object Oriented Programming COMP 1046 4.5
Data Driven Web Technologies INFS 1025 4.5
SECOND YEAR
First Semester (Study Period 1, 2 or 3)
Applied Probability MATH 2030 4.5
Data Structures Essentials COMP 2012 4.5
Linear Programming and Networks MATH 2014 4.5
Discrete Mathematics MATH 1043 4.5
Second Semester (Study Period 4, 5 or 6)
Mathematical Communication MATH 2024 4.5
Mathematical Modelling MATH 2031 4.5
Data Analytics using R COMP 2032 4.5
Big Data Concepts INFS 4020 4.5
THIRD YEAR
First Semester (Study Period 1, 2 or 3)
Analytics for Decision Making INFS 3075 4.5
Predictive and Descriptive Analytics INFS 3076 4.5
Visualisation for Data Science INFS 3078 4.5
Mathematics Clinic 1 MATH 3021 4.5 Note(s): 2
OR
Elective 4.5
Second Semester (Study Period 4, 5 or 6)
Text and Social Media Analytics INFS 3077 4.5
AI and Machine Learning COMP 2019 4.5 Note(s): 3
University Elective 4.5 Note(s): 1,4
Please choose ONE of the below courses
Mathematics Clinic 2 MATH 3034 4.5
Mathematical Sciences Project MATH 3013 4.5
STEM Internship 15 Days NASC 4022 4.5 Note(s): 5

Program Director

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